מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Responsibilities:
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Leads coordination of the production of product performance reports and updates for senior management
This position is not eligible for sponsorship.
Required Qualifications:
Risk analysis, strategy development, or related experience
Basic understanding of 1st and 3rd party fraud, scams and/or mules
SQL/SAS Coding knowledge and/or experience
Ability to build and maintain relationships with line of business leaders and multiple stakeholders throughout the organization
Strong written and oral communication skills
Ability to manage multiple projects in a complex and rapidly-changing environment
Ability to work independently as well as part of a team
Excellent time management skills.
Intellectually curious and willing to dive into complete issues\problems and solve
Desired Qualifications:
3+ years of risk analysis, strategy development, or related experience.
3+ years of SQL/SAS Coding experience.
2+ years of fraud/fraud detection experience and/or 2+ years of analytical /financial experience (Payment card /Retail Bank Finance background preferred)
Proven track record of building and deploying Fraud process and control changes
Advanced Excel capability
Bachelor’s degree, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance or operations research
Experience with Python and usage of more advanced analytical, visualization and data extraction tools (H2O, HUE, Pig, Spark, Hive, Tableau) is strongly preferred.
Skills:
Business Analytics
Business Intelligence
Data Quality Management
Fraud Management
Monitoring, Surveillance, and Testing
Collaboration
Data Visualization
Oral Communications
Problem Solving
Written Communications
Analytical Thinking
Critical Thinking
Data and Trend Analysis
Innovative Thinking
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